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Case Study

Artificial Intelligence in Manufacturing - a Simr Compendium

Simr Case Studies on AI in Manufacturing

The Simr Compendiums of case studies offer a deep dive into more than 160 case studies about hands-on customer projects that span over a decade of innovation in High-Performance Computing (HPC) in the cloud.

 

What you'll discover in this compendium:

  • Groundbreaking AI Applications: Explore real-world AI use cases in manufacturing, including predictive maintenance, quality management, computational fluid dynamics, living-heart simulations, and more.
  • Industry-Leading Case Studies: Learn from industry leaders such as Amazon AWS, Microsoft Azure, Google Cloud, Ansys, and Dassault Systèmes, with projects spanning AI-driven simulations, deep learning, and personalized medical device solutions.
  • A Decade of Innovation: Track the incredible progress of AI in engineering simulations from our early cloud experiments to today's sophisticated AI-driven solutions.

Whether you're an engineer, data scientist, or business leader, this compendium provides valuable insights into how AI can transform your processes and drive simulation efficiency.

Featured case studies

Check our recent work

With Rimac, The Fastest Electric Hypercars Finally Reach The Cloud

In 2021, Rimac and UberCloud forged a partnership, with a need for optimized innovation at its core. Rimac Technology engineers were running more and more simulations with an aging, on-premises high performance computing (HPC) cluster. While compute power continued to fall short, the demand for resources continued to grow exponentially.

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Simulation Of An Airbag With ANSYS LS-DYNA

This Simr experiment, designed to better understand air bag inflation behavior under dynamic conditions, has added to that knowledge.

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Engineering Case Studies with 42 ISV codes in the Cloud

Explore 11 engineering simulation projects on Amazon AWS, all born from the imperative to tackle complex manufacturing challenges swiftly, efficiently, and with utmost quality.

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Fluid Structure Interaction Using ANSYS

Explore the benefits of ANSYS in the Cloud by withaeroelastic behavior and flutter instability of aircraft wings in subsonic flight using simulations.

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Deep Learning For Steady-State Fluid Flow Prediction In The Advania Data Centers Cloud

This Case Study applies Artificial Neural Networks to solve CFD problems. This decreases time-to-solution while preserving traditional CFD solver accuracy

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CFD Simulation Of Vertical Axis Wind Turbine

Vertical Axis Wind Turbines (VAWTs) are harder to model aerodynamically than horizontal designs due to varying wind velocities. The DMST method is inaccurate for precise estimates. CFD simulations, especially fully transient ones, offer better results.

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